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Job Responsibilities
Develop and maintain data platforms using Python, Spark, and PySpark.
Handle migration to PySpark on AWS.
Design and implement data pipelines.
Work with AWS and Big Data.
Produce unit tests for Spark transformations and helper methods.
Create Scala/Spark jobs for data transformation and aggregation.
Write Scaladoc-style documentation for code.
Optimize Spark queries for performance.
Integrate with SQL databases (e.g., Microsoft, Oracle, Postgres, MySQL).
Understand distributed systems concepts (CAP theorem, partitioning, replication, consistency, and consensus).
Skills:
Proficiency in Python, Scala (with a focus on functional programming), and Spark.
Familiarity with Spark APIs, including RDD, DataFrame, MLlib, GraphX, and Streaming.
Experience working with HDFS, S3, Cassandra, and/or DynamoDB.
Deep understanding of distributed systems.
Experience with building or maintaining cloud-native applications.
Familiarity with serverless approaches using AWS Lambda is a plus
Contractor
IT Outsourcing & Consulting
$62k-73k (estimate)
06/21/2024
07/19/2024
vysystems.com
SANTA CLARA, CA
200 - 500
2000
RAMESH SANTHANAM
$10M - $50M
IT Outsourcing & Consulting
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